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Leading Retailer Leans into Customer Interaction Analytics to 
Improve CSAT by 91%

Leading Retailer Leans into Customer Interaction Analytics to Improve CSAT by 91%

Industry

Retail

case studies
Leading-Retailer-Leans-into-Customer

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For the retail industry, optimizing and simplifying the buyer journey is crucial to meeting customer expectations every step of the way. A brandโ€™s reputation depends on knowing and reducing customer pain points wherever they occur.

The Challenge

Our client, a well-known North American retail brand, wanted a clearer understanding of their customer experience and what could be done to make it better. Early improvement goals centered on:

  • Decreasing overall Average Handle Time
  • Reducing repeat calls
  • Increasing customer satisfaction

The Solution

A cross-functional team conducted a 30-day interaction analytics study, examining:

  • Top call drivers
  • Correlation between agent behaviors and customer sentiment
  • Reasons for repeat calls and transfers
  • Technical customer issues
  • Issues with orders, returns, and exchanges

The Results

Actionable insights from ResultsCX analytics led to meaningful improvements within weeks:

  • 67% decrease in time to proficiency driven by on-the-spot coaching
  • 6% reduction in call silent time from new flagging/handling process
  • Nearly 20% reduction in AHT with better call efficiency
  • 14% improvement in quality scores
  • Uptick in customer satisfaction scores from 91% after six weeks of process improvement

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